Climatch

Land with a climate like Nangwa

🇹🇿Nangwa, Manyara, Tanzania

The towns with the closest growing climate to Nangwa are Njombe, Tanzania (92% match), Mafinga and Mlangali. About 29,000 sq mi of land in 5 countries matches 80% or better, most of it in Arusha, Tanzania, Njombe, Tanzania and Manyara, Tanzania.The towns with the closest growing climate to Nangwa are Njombe, Tanzania (92% match), Mafinga and Mlangali. About 75,000 km² of land in 5 countries matches 80% or better, most of it in Arusha, Tanzania, Njombe, Tanzania and Manyara, Tanzania.

Your growing climate

Zone 10b · No frost · 27 chill hours · 30 in rainZone 10b · No frost · 27 chill hours · 772 mm rain

What grows in Nangwa →

Regions with the most land like yours

  1. 1

    🇹🇿Arusha, Tanzania

    5,100 sq mi13k km² matching 80% or better

    For example Kiratu (85), Arusha (85)

  2. 2

    🇹🇿Njombe, Tanzania

    4,100 sq mi11k km² matching 80% or better

    For example Njombe (92), Mlangali (90)

  3. 3

    🇹🇿Manyara, Tanzania

    3,300 sq mi8,500 km² matching 80% or better

  4. 4

    🇲🇼Northern Region, Malawi

    1,800 sq mi4,600 km² matching 80% or better

    For example Mzuzu (76), Rumphi (59)

  5. 5

    🇲🇽Oaxaca, Mexico

    1,100 sq mi3,000 km² matching 80% or better

    For example Heroica Ciudad de Tlaxiaco (64), Miahuatlán de Porfirio Díaz (51)

  6. 6

    🇵🇪Piura, Peru

    300 sq mi800 km² matching 80% or better

  7. 7

    🇬🇹Guatemala

    300 sq mi700 km² matching 80% or better

    For example Mixco (83), San Juan Sacatepéquez (80)

  8. 8

    🇲🇽Chiapas, Mexico

    300 sq mi700 km² matching 80% or better

    For example Teopisca (85), San Cristóbal de las Casas (81)

Regions are states and provinces, counting land within 75 km of a town. At most three per country, so the list covers the world.

Closest towns

  1. 1

    🇹🇿NjombeTanzania

    Zone 10b · No frost · 160 chill hours · 46 in rainZone 10b · No frost · 160 chill hours · 1,179 mm rain

    Shares 13 of your 15 great-fit crops · Also great there: apple, peach, blueberry

    92%match
  2. 2

    🇹🇿MafingaIringa, Tanzania

    Zone 10b · No frost · 43 chill hours · 35 in rainZone 10b · No frost · 43 chill hours · 884 mm rain

    Shares 15 of your 15 great-fit crops · Also great there: fig, sorghum, cotton

    90%match
  3. 3

    🇹🇿MlangaliNjombe, Tanzania

    Zone 10b · No frost · 90 chill hours · 47 in rainZone 10b · No frost · 90 chill hours · 1,191 mm rain

    Shares 13 of your 15 great-fit crops · Also great there: macadamia, fig, sorghum

    90%match
  4. 4

    🇹🇿KiratuArusha, Tanzania

    Zone 11b · No frost · 0 chill hours · 30 in rainZone 11b · No frost · 0 chill hours · 764 mm rain

    Shares 13 of your 15 great-fit crops · Also great there: fig, sorghum, cotton

    85%match
  5. 5

    🇹🇿ArushaTanzania

    Zone 11b · No frost · 0 chill hours · 31 in rainZone 11b · No frost · 0 chill hours · 777 mm rain

    Shares 14 of your 15 great-fit crops · Also great there: fig, sorghum, cotton

    85%match
  6. 6

    🇬🇹Mixco↻Seasons flipped. Guatemala, Guatemala

    Zone 11a · No frost · 0 chill hours · 52 in rainZone 11a · No frost · 0 chill hours · 1,325 mm rain

    Shares 11 of your 15 great-fit crops · Also great there: macadamia, coffee (arabica), sorghum

    83%match
  7. 7

    🇹🇿MbeyaTanzania

    Zone 10a · Frost 1 years in 10 · 172 chill hours · 39 in rainZone 10a · Frost 1 years in 10 · 172 chill hours · 995 mm rain

    Shares 14 of your 15 great-fit crops · Also great there: fig, macadamia, sorghum

    82%match
  8. 8

    🇲🇽San Cristóbal de las Casas↻Seasons flipped. Chiapas, Mexico

    Zone 10a · Frost 2 years in 10 · 349 chill hours · 46 in rainZone 10a · Frost 2 years in 10 · 349 chill hours · 1,163 mm rain

    Shares 13 of your 15 great-fit crops · Also great there: macadamia

    81%match
  9. 9

    🇲🇼DedzaCentral Region, Malawi

    Zone 10b · No frost · 60 chill hours · 40 in rainZone 10b · No frost · 60 chill hours · 1,016 mm rain

    Shares 14 of your 15 great-fit crops · Also great there: fig, macadamia, sorghum

    80%match
  10. 10

    🇹🇿TingiRuvuma, Tanzania

    Zone 11a · No frost · 8 chill hours · 52 in rainZone 11a · No frost · 8 chill hours · 1,310 mm rain

    Shares 11 of your 15 great-fit crops · Also great there: macadamia, citrus, sorghum

    79%match
  11. 11

    🇰🇪MachakosMachakos County, Kenya

    Zone 11b · No frost · 0 chill hours · 27 in rainZone 11b · No frost · 0 chill hours · 684 mm rain

    Shares 13 of your 15 great-fit crops · Also great there: fig, sorghum, cotton

    79%match
  12. 12

    🇹🇿MakumbakoNjombe, Tanzania

    Zone 11a · No frost · 11 chill hours · 38 in rainZone 11a · No frost · 11 chill hours · 966 mm rain

    Shares 14 of your 15 great-fit crops · Also great there: fig, sorghum, cotton

    79%match
  13. 13

    🇹🇿MbingaRuvuma, Tanzania

    Zone 11a · No frost · 5 chill hours · 47 in rainZone 11a · No frost · 5 chill hours · 1,199 mm rain

    Shares 12 of your 15 great-fit crops · Also great there: macadamia, citrus, rice

    78%match
  14. 14

    🇪🇨CariamangaLoja, Ecuador

    Zone 11b · No frost · 0 chill hours · 39 in rainZone 11b · No frost · 0 chill hours · 978 mm rain

    Shares 12 of your 15 great-fit crops · Also great there: fig, macadamia, sorghum

    76%match
  15. 15

    🇹🇿GeiroMorogoro, Tanzania

    Zone 11b · No frost · 0 chill hours · 26 in rainZone 11b · No frost · 0 chill hours · 662 mm rain

    Shares 13 of your 15 great-fit crops · Also great there: fig, peanut, sorghum

    76%match
  16. 16

    🇲🇼MzuzuNorthern Region, Malawi

    Zone 10b · No frost · 73 chill hours · 46 in rainZone 10b · No frost · 73 chill hours · 1,173 mm rain

    Shares 13 of your 15 great-fit crops · Also great there: macadamia, sorghum, cotton

    76%match
  17. 17

    🇹🇿TarakeaKilimanjaro, Tanzania

    Zone 11a · No frost · 0 chill hours · 46 in rainZone 11a · No frost · 0 chill hours · 1,162 mm rain

    Shares 12 of your 15 great-fit crops · Also great there: macadamia, coffee (arabica), sorghum

    74%match
  18. 18

    🇹🇿LubataMorogoro, Tanzania

    Zone 11b · No frost · 0 chill hours · 39 in rainZone 11b · No frost · 0 chill hours · 981 mm rain

    Shares 12 of your 15 great-fit crops · Also great there: fig, sorghum, cotton

    73%match
  19. 19

    🇹🇿KibakweDodoma, Tanzania

    Zone 11b · No frost · 0 chill hours · 26 in rainZone 11b · No frost · 0 chill hours · 657 mm rain

    Shares 13 of your 15 great-fit crops · Also great there: fig, sorghum, cotton

    72%match
  20. 20

    🇧🇷DiamantinaMinas Gerais, Brazil

    Zone 11a · No frost · 7 chill hours · 51 in rainZone 11a · No frost · 7 chill hours · 1,307 mm rain

    Shares 11 of your 15 great-fit crops · Also great there: macadamia, coffee (arabica), rice

    72%match

Any town over 15,000 people, skipping those within 75 km of you. ↻ = seasons flipped across the equator.

How matching works

We compare all twelve months of average highs and lows, rain, humidity and sunshine, the same way as Climatch's places-like search, but weighted for growing: winter lows count most, since frost, chill and hardiness decide which perennials survive, then summer highs and rain. Humidity counts least.

Scores show how unusual a match this close is: 80 or better is closer than all but about 2% of random pairs of places. Across the equator seasons are lined up (↻), so a southern farm's January is compared with a northern July. Climate is only part of it: check soil, water and day length (it matters for photoperiod crops) before buying land.

Looking for land?

We're building detailed reports on land like Nangwa: frost risk year by year, water, and how each match's climate is shifting by 2050.

We'll only use your email for the report and related updates.

Climate data: TerraClimate 1991–2020 monthly averages (Abatzoglou, J.T. et al., 2018, Scientific Data 5:170191). Humidity is derived from TerraClimate vapor pressure; “sunshine” is solar radiation.

Places: GeoNames (CC BY 4.0). Map: © OpenStreetMap contributors, tiles by OpenFreeMap.

Grower tools: crop ranges from FAO ECOCROP and university extension guides (cited per crop). Daily weather, frost dates and chill are estimated from the monthly averages; chill portions use the Dynamic Model (Fishman, Erez & Couvillon, 1987), hardiness zones follow the USDA definition.